ADDRESSING SOCIOETHICAL EFFECTS OF AI

Topics

The theme of this workshop is to create collaborative bridges within and beyond AI by highlighting both outcome (e.g., deliberate and unintentional harms, loss of life, air quality, and climate change) and error (e.g., poor system performance and non-interpretable results) disparities of AI systems across six dimensions: (i) Safety & Security, (ii) Robustness & Reliability, (iii) Responsibility & Accountability, (iv) Explainability & Transparency, (v) Privacy & Data Governance and finally (vi) Well-Being. To emphasize the importance of AI for positive societal (social & environmental) impacts, we posit that it is imperative to accentuate pitfalls of AI to truly enable humanity-centered Trustworthy AI systems.

Submissions may spans a wide range of topics within the realm of computing, including but not limited to:

• High-Performance Computing
• Quantum Computing
• Data Science and Analytics
• Cloud Computing and Distributed Systems
• Cybersecurity and Privacy
• Emerging Technologies in Computing
• Natural Language Processing and LLMs
• Artificial Intelligence and Machine Learning
• Computer Vision and Image Processing
• Intelligent Educational systems and e-Learning
• Ambient Intelligence and IoT

Submission Guidelines

We invite emerging researchers, students, educators, and individuals or to submit original extended abstracts (2 pages) or short papers (3-5 pages), written in English, plus unlimited pages of references. Authors can choose to make either an archival or non-archival submission. Submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. We invite single-blinded submissions that include (but are not limited to):

• Works-in-progress;
• Research proposals;
• Provocations or critical approaches, and positional papers;
• Surveys or meta-analyses accentuating opportunities for new or underexplored research;

Generative AI tools and technologies, such as ChatGPT, may not be listed as authors of an AAAI 2024 published Work. The use of generative AI tools and technologies to create content is permitted but must be fully disclosed in the Work. For example, the authors could include the following statement in the Acknowledgements section of the Work: ChatGPT was utilized to generate sections of this Work, including text, tables, graphs, code, data, citations, etc.). If you are uncertain about the need to disclose the use of a particular tool, err on the side of caution, and include a disclosure in the acknowledgements section of the Work.

Text generated from a large-scale language model (LLM) such as ChatGPT must be clearly marked where such tools are used for purposes beyond editing the author’s own text. While we will not be using tools to detect LLM-generated text, we will investigate submissions brought to our attention and will desk reject papers where LLM use is not clearly marked.